}

        val cacheKey = when (kind) {
            DeclaredMemberScopeKind.NON_STATIC -> JAVA_ENHANCEMENT_FOR_DECLARED_MEMBERS
            DeclaredMemberScopeKind.STATIC -> JAVA_ENHANCEMENT_FOR_STATIC_DECLARED_MEMBERS
            DeclaredMemberScopeKind.COMBINED -> JAVA_ENHANCEMENT_FOR_ALL_DECLARED_MEMBERS
        }

        return scopeSession.getOrBuild(firJavaClass.symbol, cacheKey) {

just getting started, GitHub has a
[how-to](https://help.github.com/articles/using-pull-requests/).

TensorFlow team members will be assigned to review your pull requests. Once the
pull requests are approved and pass continuous integration checks, a TensorFlow
team member will apply `ready to pull` label to your change. This means we are
working on getting your pull request submitted to our internal repository. After

  // specify a global default.
  // +optional
  optional IngressBackend backend = 1;

  // tls represents the TLS configuration. Currently the Ingress only supports a
  // single TLS port, 443. If multiple members of this list specify different hosts,
  // they will be multiplexed on the same port according to the hostname specified
  // through the SNI TLS extension, if the ingress controller fulfilling the
  // ingress supports SNI.

  // +optional
  optional IngressBackend defaultBackend = 1;

  // tls represents the TLS configuration. Currently the Ingress only supports a
  // single TLS port, 443. If multiple members of this list specify different hosts,
  // they will be multiplexed on the same port according to the hostname specified
  // through the SNI TLS extension, if the ingress controller fulfilling the
  // ingress supports SNI.

!!! note "Technical Details"
    ASGI is a new "standard" being developed by Django core team members. It is still not a "Python standard" (a PEP), although they are in the process of doing that.

  // specify a global default.
  // +optional
  optional IngressBackend backend = 1;

  // TLS configuration. Currently the Ingress only supports a single TLS
  // port, 443. If multiple members of this list specify different hosts, they
  // will be multiplexed on the same port according to the hostname specified
  // through the SNI TLS extension, if the ingress controller fulfilling the
  // ingress supports SNI.

                || isOrdinarySymbolWithSource(symbol)
    }

    private fun isSyntheticSymbolWithParentSource(symbol: KtSymbol): Boolean {
        return when (symbol.origin) {
            KtSymbolOrigin.SOURCE_MEMBER_GENERATED -> true
            else -> false
        }
    }

    private fun isOrdinarySymbolWithSource(symbol: KtSymbol): Boolean {
        return symbol.origin == KtSymbolOrigin.SOURCE

* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.
* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.

```Python hl_lines="17"
{!../../../docs_src/path_params/tutorial005.py!}
```

#### *Enumeration Değerini* Edinelim

`model_name.value` veya genel olarak `your_enum_member.value` tanımlarını kullanarak (bu durumda bir `str` olan) gerçek değere ulaşabilirsiniz:

```Python hl_lines="20"
{!../../../docs_src/path_params/tutorial005.py!}
```

!!! tip "İpucu"

            else -> when (containingDeclaration) {
                is PackageFragmentDescriptor -> KtSymbolKind.TOP_LEVEL
                is ClassDescriptor -> KtSymbolKind.CLASS_MEMBER
                else -> KtSymbolKind.LOCAL
            }
        }
    }

internal val CallableMemberDescriptor.isExplicitOverride: Boolean
    get() {
        return (this !is PropertyAccessorDescriptor